A5101559257- Medical Image Segmentation Techniques
- AI in cancer detection
- Medical Imaging and Analysis
- 3D Shape Modeling and Analysis
- Data Management and Algorithms
- Neuropeptides and Animal Physiology
- Graph Theory and Algorithms
- Artificial Intelligence in Healthcare
- Pharmacological Receptor Mechanisms and Effects
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Receptor Mechanisms and Signaling
- Biomedical Text Mining and Ontologies
- Geographic Information Systems Studies
Southern Medical University
2023
Stony Brook University
2015-2016
Emory University
2015-2016
Shanghai Institute of Materia Medica
1992
A large number of cell-oriented cancer investigations require an effective and reliable cell segmentation method on three dimensional (3D) fluorescence microscopic images for quantitative analysis biological properties. In this paper, we present a fully automated that can detect cells from 3D images. Enlightened by imaging techniques, regulated the image gradient field vector flow (GVF) with interpolated smoothed data volume, grouped voxels based modes identified tracking GVF field. Adaptive...
The emergence of digital pathology has enabled numerous quantitative analyses histopathology structures. However, most image are limited to two-dimensional datasets, resulting in substantial information loss and incomplete interpretation. To address this, we have developed a complete framework for three-dimensional whole slide analysis demonstrated its efficacy on 3D vessel structure with liver tissue sections. proposed workflow includes components registration, segmentation, cross-section...
Three-dimensional (3D) high resolution microscopic images have potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship features are significant. In this paper, we develop a complete framework applicable to 3D pathology analytical imaging, with an application whole slide sequential liver slices vessel structure analysis. The analysis workflow consists image registration, segmentation, cross-section association,...
Spatial cross-matching operation over geospatial polygonal datasets is important to a variety of GIS applications. However, it involves extensive computation cost associated with intersection and union polygon pair from large scale datasets. This mandates for exploration parallel computing capabilities such as GPU increase the efficiency operations. In this paper, we present CPU-GPU hybrid platform accelerate The tasks are dynamically scheduled be executed either on CPU or GPU. To...
This article proposes a method for constructing chronic disease retrieval model based on the Chinese medical knowledge graph. By combining graph with classification retrieval, is constructed, which mainly includes three aspects: designing hierarchical rules, scheming sorting strategies and display methods. The proposed mechanism related are conducive to effective organization of health information, solving current problems multi-source heterogeneity semantic ambiguity, improving efficiency...
Abstract The authors of the present paper reported synthesis [ 11 C]‐ohmefentanyl in a symposium abstract 1991 (1) . We here describe results and analysis detail. Ohmefentanyl 1 is novel, highly potent selective agonist for opiate μ‐receptors. In order to visualize μ‐receptor by Positron Emission Tomography (PET), this compound was labelled with carbon‐11. unlabelled cis‐A‐ohmefentanyl prepared nine‐step two‐step fractional crystallization, OH‐precursor labelling obtained hydrolysis...